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All Journal Jurnal Pendidikan Fisika Indonesia Jurnal Bahan Alam Terbarukan JURNAL FISIKA Rekayasa: Jurnal Penerapan Teknologi dan Pembelajaran Scientific Journal of Informatics Unnes Science Education Journal ASEAN Journal on Science and Technology for Development UPEJ Unnes Physics Education Journal Jurnal Bakti Masyarakat Indonesia Prosiding Seminar Nasional Pascasarjana Lontar Physics Today UPEJ : Unnes Physics Education Journal Jurnal Pendidikan Fisika Indonesia
Isa Akhlis
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Education Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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Journal : scientific journal of informatics

 1 
Pengembangan LMS (Learning Management System) Berbasis Web untuk Mengukur Pemahaman Konsep dan Karakter Siswa Wibowo, Agung Tri; Akhlis, Isa; Nugroho, Sunyoto Eko
Scientific Journal of Informatics Vol 1, No 2 (2014): November 2014
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v1i2.4019

Abstract

Perkembangan teknologi informasi telah berkembang pesat dalam bidang pendidikan dengan lahirnya e-learning. E-learning dapat membantu guru dalam memantau keaktifan siswa dengan penugasan, forum diskusi maupun aktivitas lain, sehingga karakter dapat dideskripsikan melalui e-learning. Tujuan dari penelitian ini adalah mengembangkan Software Learning Management System (LMS). LMS adalah aplikasi perangkat lunak untuk kegiatan online, program pembelajaran elektronik (e-learning program) dan isi pelatihan. Selain itu, penelitian ini juga menyelidiki respon dari siswa terhadap LMS dan menguji keefektifannya dalam meningkatkan pemahaman konsep serta mengembangkan karakter siswa. Metode yang digunakan dalam penelitian ini adalah metode penelitian pengembangan. Uji produk menggunakan Pre Experimental Design dengan jenis Pretest and Posttest One Group Design. Instrumen penelitian berupa angket uji ahli, angket tanggapan, tes tertulis dan lembar observasi karakter. Teknik analisis data uji kefektifan menggunakan uji gain. Hasil tanggapan siswa untuk keseluruhan aspek mendapatkan prosentase diatas 82,5% kategori sangat baik. Hasil uji gain pemahaman konsep sebesar 0,56 dengan kategori sedang, artinya LMS efektif meningkatkan pemahaman konsep siswa. Sedangkan uji gain karakter 0,16 kategori rendah, artinya belum efektif mengembangkan karakter siswa.
Recognition Number of The Vehicle Plate Using Otsu Method and K-Nearest Neighbour Classification Hidayah, Maulidia Rahmah; Akhlis, Isa; Sugiharti, Endang
Scientific Journal of Informatics Vol 4, No 1 (2017): May 2017
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v4i1.9503

Abstract

The current topic that is interesting as a solution of the impact of public service improvement toward vehicle is License Plate Recognition (LPR), but it still needs to develop the research of LPR method. Some of the previous researchs showed that K-Nearest Neighbour (KNN) succeed in car license plate recognition. The Objectives of this research was to determine the implementation and accuracy of Otsu Method toward license plate recognition. The method of this research was Otsu method to extract the characteristics and image of the plate into binary image and KNN as recognition classification method of each character. The development of the license plate recognition program by using Otsu method and classification of KNN is following the steps of pattern recognition, such as input and sensing, pre-processing, extraction feature Otsu method binary, segmentation, KNN classification method and post-processing by calculating the level of accuracy. The study showed that this program can recognize by 82% from 100 test plate with 93,75% of number recognition accuracy and 91,92% of letter recognition accuracy. 
Comparative Analysis of Simple Additive Weighting Method and Weighted Product Method to New Employee Recruitment Decision Support System (DSS) at PT. Warta Media Nusantara Setyawan, Agus; Arini, Florentina Yuni; Akhlis, Isa
Scientific Journal of Informatics Vol 4, No 1 (2017): May 2017
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v4i1.8458

Abstract

Issue handling of inadvertence situations in the decision-making process of recruiting new employees at PT. Warta Media Nusantara that use criteria value of interviews, field test, a psychological test and medical check-up requires Multi Attribute Decision Making (MADM) as an auxiliary method of decision-making on the prospective eligible employee to be accepted in the company. There are various MADM methods, such as Simple Additive Weighting (SAW) method and Weighted Product (WP) method. Both of these methods are known as the most common method used in handling MADM issues, so in this study both methods are applied to the DSS and analyzed the differences in terms of obtained results and the execution time required for each method. The results of the study of the application of SAW and WP methods in the recruitment of new employees DSS there are some differences in the results of the candidates rank order and the differences in execution time of each method. The differences in rank order of these methods are due to the effects of alternative values, weighting criteria, and the calculation method. WP method is able to provide more rigorous result than SAW method, while the difference in execution time of SAW and WP methods explains that the execution time of SAW method relatively quick because SAW calculation method has a simpler process than the process of WP calculation methods 
Recognition Number of The Vehicle Plate Using Otsu Method and K-Nearest Neighbour Classification Hidayah, Maulidia Rahmah; Akhlis, Isa; Sugiharti, Endang
Scientific Journal of Informatics Vol 4, No 1 (2017): May 2017
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v4i1.9503

Abstract

The current topic that is interesting as a solution of the impact of public service improvement toward vehicle is License Plate Recognition (LPR), but it still needs to develop the research of LPR method. Some of the previous researchs showed that K-Nearest Neighbour (KNN) succeed in car license plate recognition. The Objectives of this research was to determine the implementation and accuracy of Otsu Method toward license plate recognition. The method of this research was Otsu method to extract the characteristics and image of the plate into binary image and KNN as recognition classification method of each character. The development of the license plate recognition program by using Otsu method and classification of KNN is following the steps of pattern recognition, such as input and sensing, pre-processing, extraction feature Otsu method binary, segmentation, KNN classification method and post-processing by calculating the level of accuracy. The study showed that this program can recognize by 82% from 100 test plate with 93,75% of number recognition accuracy and 91,92% of letter recognition accuracy.
Comparative Analysis of Simple Additive Weighting Method and Weighted Product Method to New Employee Recruitment Decision Support System (DSS) at PT. Warta Media Nusantara Setyawan, Agus; Arini, Florentina Yuni; Akhlis, Isa
Scientific Journal of Informatics Vol 4, No 1 (2017): May 2017
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v4i1.8458

Abstract

Issue handling of inadvertence situations in the decision-making process of recruiting new employees at PT. Warta Media Nusantara that use criteria value of interviews, field test, a psychological test and medical check-up requires Multi Attribute Decision Making (MADM) as an auxiliary method of decision-making on the prospective eligible employee to be accepted in the company. There are various MADM methods, such as Simple Additive Weighting (SAW) method and Weighted Product (WP) method. Both of these methods are known as the most common method used in handling MADM issues, so in this study both methods are applied to the DSS and analyzed the differences in terms of obtained results and the execution time required for each method. The results of the study of the application of SAW and WP methods in the recruitment of new employees DSS there are some differences in the results of the candidates rank order and the differences in execution time of each method. The differences in rank order of these methods are due to the effects of alternative values, weighting criteria, and the calculation method. WP method is able to provide more rigorous result than SAW method, while the difference in execution time of SAW and WP methods explains that the execution time of SAW method relatively quick because SAW calculation method has a simpler process than the process of WP calculation methods
PENGEMBANGAN LMS (LEARNING MANAGEMENT SYSTEM) BERBASIS WEB UNTUK MENGUKUR PEMAHAMAN KONSEP DAN KARAKTER SISWA Wibowo, Agung Tri; Akhlis, Isa; Nugroho, Sunyoto Eko
Scientific Journal of Informatics Vol 1, No 2 (2014): November 2014
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v1i2.4019

Abstract

Perkembangan teknologi informasi telah berkembang pesat dalam bidang pendidikan dengan lahirnya e-learning. E-learning dapat membantu guru dalam memantau keaktifan siswa dengan penugasan, forum diskusi maupun aktivitas lain, sehingga karakter dapat dideskripsikan melalui e-learning. Tujuan dari penelitian ini adalah mengembangkan Software Learning Management System (LMS). LMS adalah aplikasi perangkat lunak untuk kegiatan online, program pembelajaran elektronik (e-learning program) dan isi pelatihan. Selain itu, penelitian ini juga menyelidiki respon dari siswa terhadap LMS dan menguji keefektifannya dalam meningkatkan pemahaman konsep serta mengembangkan karakter siswa. Metode yang digunakan dalam penelitian ini adalah metode penelitian pengembangan. Uji produk menggunakan Pre Experimental Design dengan jenis Pretest and Posttest One Group Design. Instrumen penelitian berupa angket uji ahli, angket tanggapan, tes tertulis dan lembar observasi karakter. Teknik analisis data uji kefektifan menggunakan uji gain. Hasil tanggapan siswa untuk keseluruhan aspek mendapatkan prosentase diatas 82,5% kategori sangat baik. Hasil uji gain pemahaman konsep sebesar 0,56 dengan kategori sedang, artinya LMS efektif meningkatkan pemahaman konsep siswa. Sedangkan uji gain karakter 0,16 kategori rendah, artinya belum efektif mengembangkan karakter siswa.
Recognition Number of The Vehicle Plate Using Otsu Method and K-Nearest Neighbour Classification Hidayah, Maulidia Rahmah; Akhlis, Isa; Sugiharti, Endang
Scientific Journal of Informatics Vol 4, No 1 (2017): May 2017
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v4i1.9503

Abstract

The current topic that is interesting as a solution of the impact of public service improvement toward vehicle is License Plate Recognition (LPR), but it still needs to develop the research of LPR method. Some of the previous researchs showed that K-Nearest Neighbour (KNN) succeed in car license plate recognition. The Objectives of this research was to determine the implementation and accuracy of Otsu Method toward license plate recognition. The method of this research was Otsu method to extract the characteristics and image of the plate into binary image and KNN as recognition classification method of each character. The development of the license plate recognition program by using Otsu method and classification of KNN is following the steps of pattern recognition, such as input and sensing, pre-processing, extraction feature Otsu method binary, segmentation, KNN classification method and post-processing by calculating the level of accuracy. The study showed that this program can recognize by 82% from 100 test plate with 93,75% of number recognition accuracy and 91,92% of letter recognition accuracy. 
Comparative Analysis of Simple Additive Weighting Method and Weighted Product Method to New Employee Recruitment Decision Support System (DSS) at PT. Warta Media Nusantara Setyawan, Agus; Arini, Florentina Yuni; Akhlis, Isa
Scientific Journal of Informatics Vol 4, No 1 (2017): May 2017
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v4i1.8458

Abstract

Issue handling of inadvertence situations in the decision-making process of recruiting new employees at PT. Warta Media Nusantara that use criteria value of interviews, field test, a psychological test and medical check-up requires Multi Attribute Decision Making (MADM) as an auxiliary method of decision-making on the prospective eligible employee to be accepted in the company. There are various MADM methods, such as Simple Additive Weighting (SAW) method and Weighted Product (WP) method. Both of these methods are known as the most common method used in handling MADM issues, so in this study both methods are applied to the DSS and analyzed the differences in terms of obtained results and the execution time required for each method. The results of the study of the application of SAW and WP methods in the recruitment of new employees DSS there are some differences in the results of the candidates rank order and the differences in execution time of each method. The differences in rank order of these methods are due to the effects of alternative values, weighting criteria, and the calculation method. WP method is able to provide more rigorous result than SAW method, while the difference in execution time of SAW and WP methods explains that the execution time of SAW method relatively quick because SAW calculation method has a simpler process than the process of WP calculation methods 
Pengembangan LMS (Learning Management System) Berbasis Web untuk Mengukur Pemahaman Konsep dan Karakter Siswa Wibowo, Agung Tri; Akhlis, Isa; Nugroho, Sunyoto Eko
Scientific Journal of Informatics Vol 1, No 2 (2014): November 2014
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v1i2.4019

Abstract

Perkembangan teknologi informasi telah berkembang pesat dalam bidang pendidikan dengan lahirnya e-learning. E-learning dapat membantu guru dalam memantau keaktifan siswa dengan penugasan, forum diskusi maupun aktivitas lain, sehingga karakter dapat dideskripsikan melalui e-learning. Tujuan dari penelitian ini adalah mengembangkan Software Learning Management System (LMS). LMS adalah aplikasi perangkat lunak untuk kegiatan online, program pembelajaran elektronik (e-learning program) dan isi pelatihan. Selain itu, penelitian ini juga menyelidiki respon dari siswa terhadap LMS dan menguji keefektifannya dalam meningkatkan pemahaman konsep serta mengembangkan karakter siswa. Metode yang digunakan dalam penelitian ini adalah metode penelitian pengembangan. Uji produk menggunakan Pre Experimental Design dengan jenis Pretest and Posttest One Group Design. Instrumen penelitian berupa angket uji ahli, angket tanggapan, tes tertulis dan lembar observasi karakter. Teknik analisis data uji kefektifan menggunakan uji gain. Hasil tanggapan siswa untuk keseluruhan aspek mendapatkan prosentase diatas 82,5% kategori sangat baik. Hasil uji gain pemahaman konsep sebesar 0,56 dengan kategori sedang, artinya LMS efektif meningkatkan pemahaman konsep siswa. Sedangkan uji gain karakter 0,16 kategori rendah, artinya belum efektif mengembangkan karakter siswa.
Co-Authors Agung Tri Wibowo Agus Priyono Agus Setyawan Ahmad Azan Akbari ahmad rizal Anggraeni, Ulva Arfiansyah, Ligi Putra Arif Widiyatmoko, Arif Aryani, Nila Prasetya Aryani, Pramita Rosma Azwar Anas Bambang Subali Cristian Damayanti, Cristian Darsono, Teguh Ellianawati Endang Sugiharti, Endang Feby Rizka Ayuning Wulandari, Feby Rizka Ayuning Florentina Yuni Arini Friski Herina Fitriani, Friski Herina Hamidatul Faqqiyyah Handhita, Emye Tegar Hartono Hartono Hartono Hartono Heru Saputera Ida Ayu Putu Sri Widnyani Intana, Nila Muna Lambang Setyo Utama Lutfiana Maghfirotul Izza Marhadini, Satria Adhi Kusuma Maria A Simangunsong Maulidia Rahmah Hidayah, Maulidia Rahmah Meilody Indreswari Murdoko, Eddi Mu’min, Akhmad Nurul Neni Nur Afia Nisa, Maulidia Khoirun Novi Ratna Dewi Nur Viyanti, Nur Ome, Yunita Dwi Saputri Parmin - Pradika Yoanita, Pradika Putri, Saraswati Basuki Putut Marwoto Resti Andriyani, Resti Rizki Annisa Salma, Vidya Matarani Sarwi - Siti Masfuah Siti Wahyuni Sugianto Suharto Linuwih Sulhadi Sumpono, Imam Sunarno Sunyoto Eko Nugroho, Sunyoto Eko Susilo Susilo Sutikno Madnasri Teguh Darsono Thomas Tris Triantoa tri wahyuni Uda Hashim Utami, Anik Setyo Wahyu Hardyanto Wasono, Kurniawan Eko Wiyanto - Yohannes Sardjono Yossa, Yudhistira Zulmi, Faishal Aji